CN102026004A - Image color processing element and method - Google Patents
Image color processing element and method Download PDFInfo
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Abstract
The invention provides image color processing element and method for processing the brightness data and input chroma data of an image. The element comprises an edge detecting unit, a chroma filter unit and a chroma mixing unit, wherein the edge detecting unit receives the brightness data of the image, detects whether each pixel of the image belongs to an image edge or not and provides edge intensity; the chroma filter unit receives the input chroma data of the image, filters the chroma and outputs filtered chroma data; and the chroma mixing unit receives the edge intensity, the filtered chroma data and the input chroma data and mixes the filtered chroma data with the input chroma data according to the edge intensity in a weight way to obtain output chroma data.
Description
Technical field
The present invention relates to a kind of treatment technology of shadow, relate in particular to a kind of colors of image treatment element and method.
Background technology
In various device for image; carrier chrominance signal regular meeting is because the factor of various storages or transmission; cause the colourity bad, and then have influence on whole image quality, the border color quality that wherein particularly belongs to object in the image can have influence on whether clear that object shows.
The schematic diagram of a kind of situation that Fig. 1 can take place when the edge of display object for existing image processing technique.Consult Fig. 1, for shown in an image display system image 100, its shown map image generally has the actual edge 102 of a map.In some situations, actual edge 102 regular meetings of map produce the demonstration edge 104 with rainbow, make that the blur margin of map is clear, show that therefore image quality is affected.Wherein, the map edge, such as understanding, be meant the presentation content that has texture structure in the show image.Map for example to display is a spherical object, and color change constitutes circular texture structure and the spherical object edge has significantly.The situation of the bad that above-mentioned edge shows is the most obvious with the image of NTSC form.The stored data of NTSC form are:
N＝Y+Cb?cos(ωt)+Cr?sin(ωt)，
Wherein Y is a brightness data, and chroma data (CbCr) is the color information of YUV color space.The NTSC form is the data that YCbCr is combined to form.The brightness that obtains image just need separate Y with colourity with CbCr, cause the loss of chroma data.
Fig. 2 is the mode schematic diagram of existing processing chroma data.Consult Fig. 2, digitized video 200 is to show the image data of an image in the respective pixel of YUV color space with pel array, and its neighbor data for the odd number image are alternately to store with Y+C and Y-C.When next even number image frame then is alternately to store with Y-C and Y+C.After former and later two images are done addition and the computing of subtracting each other, can isolate the data of Y and C.But pixel 204 for example with regard to belonging to map edge 202, it is because the brightness that map edge 202 generally has by a relatively large margin changes with colourity, so the data of Y ' that separates and C ' all can be mingled with the data of C and Y.In other words, Y ' that separates exactly and C ' have following error:
Y’＝Y+ΔC；
C’＝C+ΔY。
So, just produce the phenomenon of bad for the demonstration at map edge.
In addition,, pixel shows, because the arrangement mode of RGB pixel generally is to adopt compact mode to come packed-pixel if being mode with RGB.Therefore, the quantity of green time pixel can be more more with the quantity of blue time pixel than other red pixel, and the color of image can be green partially.Therefore, the display mode of RGB also can produce the phenomenon of distortion to the border of object.
Quality how to improve carrier chrominance signal is one of the factor that need consider of image processing.
Summary of the invention
The invention provides colors of image treatment element and method, can improve the quality of carrier chrominance signal at least, wherein the border for display object has better display quality.
The invention provides a kind of colors of image treatment element, to handle a brightness data and an input chroma data at an image, comprise that an edge detecting unit receives this brightness data of this image, each pixel of this image is detected whether belong to a map edge, and give an edge intensity; One colourity filter unit receives this input chroma data of this image, does that output one is filtered chroma data after the colourity filtering; One colourity mixed cell receives edge strength, is filtered chroma data and input chroma data, and according to this edge strength this is filtered chroma data and mixes in the weight mode with this input chroma data, obtains one and exports chroma data.
According to one embodiment of the invention, at described colors of image treatment element, wherein the edge detection unit can comprise a horizontal edge detecting unit, to determine a horizontal edge intensity of each this pixel; And a vertical edge detecting unit, to determine a vertical edge intensity of each this pixel, wherein this horizontal edge intensity and this vertical edge intensity are obtained this edge strength according to a computing.
According to one embodiment of the invention, at described colors of image treatment element, wherein this horizontal edge detecting unit and this vertical edge detecting unit all comprise this brightness data filtration with this image of the filter of [1,2 ,-1]/4, obtain possible fringe region.
According to one embodiment of the invention, at described colors of image treatment element, wherein this colourity filter unit comprises that a sequencing unit and selects the unit.Sequencing unit receives this input chroma data, begins to get forward N this chroma data for a pixel to be processed, is ranked into N ordering chroma data with size.This selects the unit from this N ordering chroma data, gets M big chroma data, and this after filtering as this pixel is filtered chroma data, wherein M＞1, and N＞M.
According to one embodiment of the invention, at described colors of image treatment element, wherein this colourity mixed cell comprises a weight unit and a mixed cell.This weight unit receives this edge strength and produces a weighted value, wherein then setting this weighted value when this edge strength less than a low critical value is zero, then setting this weighted value when this edge strength greater than a high critical value is 1, when this edge strength is then set this weighted value according to linear scale between this low critical value and high critical value.This mixed cell receives this weighted value, and this is filtered chroma data, and with this input chroma data, this is filtered chroma data and this input chroma data obtains exporting chroma data according to this weighted value linear hybrid.
The present invention also provides a kind of colors of image processing method, to handle a brightness data and an input chroma data at an image, comprise and carry out the edge detection step, receive this brightness data of this image, whether each pixel of detecting this image belongs to a map edge, and gives an edge intensity.And the colors of image processing method also comprises carries out the colourity filter step, receives this input chroma data of this image, carries out colourity filtering and export one being filtered chroma data.The colourity blend step comprises this edge strength of reception, and this is filtered chroma data and this input chroma data, according to this edge strength this is filtered chroma data and mixes in the weight mode with this input chroma data, obtains an output chroma data.
The present invention also provides a kind of colors of image processing method, is arranged in the display system, with a brightness data and an input chroma data of handling an image, comprises the brightness data and the input chroma data that receive this image.Then detect a pixel that will show and whether belong to a map fringe region, and give an edge intensity.Should import chroma data and do a Filtering Processing, and obtain one and filter chroma data.According to this edge strength, should import chroma data and do weight with this filtration chroma data and mix, obtain a new chroma data.
For above-mentioned feature and advantage of the present invention can be become apparent, embodiment cited below particularly, and cooperate appended graphic being described in detail below.
Description of drawings
The schematic diagram of a kind of situation that Fig. 1 can take place when the edge of display object for existing image processing technique.
Fig. 2 is the mode schematic diagram of existing processing chroma data.
Fig. 3 is the circuit box schematic diagram of the colors of image treatment element of one embodiment of the invention.
Fig. 4 is the circuit box schematic diagram of the edge detection unit of one embodiment of the invention.
Fig. 5 is the circuit box schematic diagram of the colourity filter unit of one embodiment of the invention.
Fig. 6 is the circuit box schematic diagram of the colourity mixed cell of one embodiment of the invention.
Fig. 7 is the schematic diagram that the weight unit 308 of one embodiment of the invention produces weight.
Fig. 8 is the edge detection schematic diagram of mechanism of one embodiment of the invention.
Fig. 9 A is the edge detection schematic diagram of mechanism of one embodiment of the invention to Fig. 9 C.
Main description of reference numerals:
100: image; 102: actual edge;
104: show the edge; 200: digitized video;
202: the map edge; 204: pixel;
250: the edge detection unit; 252: the colourity filter unit;
254: the colourity mixed cell; 300: the horizontal edge detecting unit;
302: the vertical edge detecting unit; 304: big or small sequencing unit;
306: select the unit; 308: weight unit;
310: mixed cell; 400,404: horizontal scanning line;
402: the map edge; 500: fringe region.
Embodiment
The present invention is directed to the brightness data Y and the chroma data C of separation, do the filtration treatment at corresponding map edge once again, therefore can promote the chroma data of filtering at least at the map edge.Below the present invention is described for some embodiment, but the present invention be not limited only to for some embodiment.And, for some embodiment between also can do suitable combination mutually, obtain other embodiment.
Because map to display edge can lose more chroma data, so whether the meeting of the present invention elder generation detecting pixel that will show belongs to the zone at map edge.According to the detecting intensity at map edge, chroma data can be done Filtering Processing, for example is the filtration treatment of edge high chroma composition.Then, do weight according to the chroma data of edge strength after of detecting with original chroma data and mix, obtain new chroma data filtration treatment.Fig. 3 is the circuit box schematic diagram of the colors of image treatment element of one embodiment of the invention.Consult Fig. 3, an edge detecting unit 250 receives the pixel of a picture frame or other brightness data of branch Y of at least a portion pixel, carries out edge detection.Can describing in the back of edge detection than detailed mechanism.Edge detection unit 250 can produce an edge intensity value computing after the detecting for each pixel.
Colourity mixed cell 254 receives the edge strength of being exported by edge detection unit 250, is filtered chroma data C by 252 outputs of colourity filter unit
FilteredAnd the chroma data C of input
BeforeAccording to this edge strength this is filtered chroma data and mixes in the weight mode, obtain an output chroma data C with this input chroma data
AfterIn other words, through mixing the chroma data C that the back is exported
AfterMeeting is because whether whether shown content belongs to the map edge and adjustment is arranged, so the quality of colourity can promote.
Then describe at the design implementation example of the difference function of edge detection unit 250, colourity filter unit 252 and colourity mixed cell 254 again.
With regard to edge detection mechanism, also cooperate and consult Fig. 8.Fig. 8 is the edge detection schematic diagram of mechanism of one embodiment of the invention.The brightness data Y at map edge has than obvious variation.One part of pixel data instance with a horizontal scanning line illustrates that its mechanism also can be applied to the edge detection of vertical line.With regard to the brightness data Y of six pixels 1～6 of a horizontal scanning line 400, for example the Y value of pixel 1～2 is zero, and the Y value of pixel 3～6 is 10, its Y value by 0 to 10 variation mean have the marginal existence of map pixel 3 near.If horizontal edge detecting unit 300 adopts the filter of [1,2 ,-1], wherein [1,2 ,-1] is meant the value of taking advantage of of the brightness Y of adjacent three pixels, and can for example be 4 again divided by a normal value (normalization factor) also in addition.The calculating of the filter of process [1,2 ,-1], to a new horizontal scanning line 404, only there is the information with edge effect in it.For example, map edge 402 is the positions in pixel 2 and 3.The filtration operation of pixel 2 is for example got adjacent three pixels 1～3 of respective pixel 2, carries out the calculating of filter:
(-1)*0+(2)*0+(-1)*10＝-10。
For pixel 3, the calculating of its filter is
(-1)*0+(2)*10+(-1)*10＝10。
Other pixels calculate 0 through filter.Therefore, belonging to may be that the pixel value in zone at edge has bigger pixel value and changes.According to same way as, vertical edge detecting unit 302 also can adopt the filter of [1,2 ,-1] but do filtration at the brightness data of vertical direction.Filter for example is
Brightness data Y after filtering can determine the edge strength of level and vertical direction respectively according to its numerical value, then can be integrated into single edge strength again.Mechanism as for decision can be handled according to selected general processing rule, is not limited to special mode.
Fig. 9 A is the edge detection schematic diagram of mechanism of one embodiment of the invention to Fig. 9 C.Also cooperate and consult Fig. 9 A to Fig. 9 C, general chromatic value can be more than producing excessive variation in map edge when separating, and therefore the colourity with reality has bigger difference.
In Fig. 9 A, for example the pixel of edge region 500 front and back as indicating, has excessive chromatic value.For example, pixel value is respectively 20 and 110 in the both sides at edge, and it is higher than normal 10 and 100.If adopt general low pass filter (LPF), then shown in Fig. 9 B, its edge is caused the edge not obvious by obfuscation.
Shown in Fig. 9 C, if adopt the mode of Fig. 5, because the chromatic value of maximum is replaced with M less chromatic value, rather than directly get the chroma data of original input, therefore the chromatic value at edge can obtain being filtered chroma data C near true chromatic value at the edge
Filtered
Colourity mixed cell 254 is then described.Fig. 6 is the circuit box schematic diagram of the colourity mixed cell of one embodiment of the invention.Consult Fig. 6, colourity mixed cell 254 comprises a weight unit 308 and a mixed cell 310.The edge strength that weight unit 308 receives by 250 outputs of edge detection unit produces a weighted value with correspondence.Fig. 7 is the schematic diagram that the weight unit 308 of one embodiment of the invention produces weight.Consult Fig. 7 simultaneously, the mode that weight unit 308 will produce weighted value W for example is, when edge strength was lower than a low critical value, weighted value W was set at zero, and on behalf of image data to be processed, it does not belong to the map fringe region.When edge strength was higher than a high critical value, weighted value W was set at 1, and on behalf of image data intensity to be processed, it belong to the map fringe region.If edge strength is, can set with linear relationship therebetween the time in high critical value and low critical value.
Export to mixed cell 310 behind the weight unit 308 decision weighted value W.Mixed cell 310 receives three input signals, comprises weighted value W, is filtered chroma data C
FilteredAnd should input chroma data C
BeforeAccording to discussion of the present invention, because the chroma data of edge region has bigger drop, and difference is less each other at other regional chroma datas.After the weighted value of weight unit 308 determined two end values, other obtained weighted value W with the linear mode interpolation, and it is to reflect the relation of chroma data and fringe region.For example also mixing is filtered chroma data C to mixed cell 310 according to weighted value W
FilteredWith input chroma data C
Before, with the chroma data C that will export after obtaining mixing
After, its relation for example is
C
after＝C
filtered*W+(1-W)*C
before。
Because the edge of map is an image main part to display, make the optimization of shape by color of map present.An edge intensive analysis is done in the brightness that the present invention is directed to the edge of map.Simultaneously, chroma data also can be done the filtering of radio-frequency component again, makes chroma data near actual colourity.Afterwards, chroma data after this filters is done according to edge strength with the chroma data of original input and is mixed, with the chroma data after obtaining handling, wherein the mode of Hun Heing can be to adopt the weight mode of linear scale to mix, yet the mode of mixing not necessarily adopts linear scale again.
Because the mode of reaching of hardware circuit can have different designs, therefore be not limited to the treatment circuit element of being carried.From the method for handling, according to identical notion, the present invention also provides a kind of colors of image processing method, can comprise and carry out the edge detection step, receive this brightness data of this image, whether each pixel of detecting this image belongs to a map edge, and gives an edge intensity.And the colors of image processing method also comprises carries out the colourity filter step, to receive the input chroma data of image, carries out the chroma data that colourity filtering and output are filtered.The colourity blend step comprises that receiving three information comprises edge strength, is filtered chroma data and input chroma data.To be filtered chroma data according to edge strength and mix in the weight mode, obtain an output chroma data with the input chroma data.
More general, the present invention also provides a kind of colors of image processing method, is arranged in the display system, with a brightness data and an input chroma data of handling an image, comprises the brightness data and the input chroma data that receive this image.Then detect a pixel that will show and whether belong to a map fringe region, and give an edge intensity.Should import chroma data and do a Filtering Processing, and obtain one and filter chroma data.According to this edge strength, should import chroma data and do weight with this filtration chroma data and mix, obtain a new chroma data.
It should be noted that at last: above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment put down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (16)
1. a colors of image treatment element is characterized in that, a brightness data and an input chroma data to handle an image comprise:
One edge detecting unit receives this brightness data of this image, whether each pixel detecting of this image is belonged to a map edge, and give an edge intensity;
One colourity filter unit receives this input chroma data of this image, do colourity filtering after output one be filtered chroma data; And
One colourity mixed cell receives this edge strength, and this is filtered chroma data and this input chroma data, according to this edge strength this is filtered chroma data and mixes in the weight mode with this input chroma data, obtains an output chroma data.
2. colors of image treatment element according to claim 1 is characterized in that, wherein this edge detection unit comprises:
One horizontal edge detecting unit is to determine a horizontal edge intensity of each this pixel; And
One vertical edge detecting unit, determining a vertical edge intensity of each this pixel,
Wherein this horizontal edge intensity and this vertical edge intensity are obtained this edge strength according to a computing.
3. colors of image treatment element according to claim 2, it is characterized in that wherein this horizontal edge detecting unit and this vertical edge detecting unit all comprise [1,2,-1] filter/4 filters this brightness data of this image, obtains possible fringe region.
4. colors of image treatment element according to claim 1 is characterized in that, wherein this colourity filter unit comprises:
One sequencing unit receives this input chroma data, begins to get forward N this chroma data for a pixel to be processed, is ranked into N ordering chroma data with size; And
One selects the unit, from this N ordering chroma data, gets M big chroma data, and this after filtering as this pixel is filtered chroma data, wherein M＞1, and N＞M.
5. colors of image treatment element according to claim 4 is characterized in that, wherein N be 4 or 5 and M be 2 or 3.
6. colors of image treatment element according to claim 1 is characterized in that, wherein this colourity mixed cell comprises:
One weight unit, receive this edge strength and produce a weighted value, wherein then setting this weighted value when this edge strength less than a low critical value is zero, then setting this weighted value when this edge strength greater than a high critical value is 1, when this edge strength is then set this weighted value according to linear scale between this low critical value and high critical value; And
One mixed cell receives this weighted value, and this is filtered chroma data, and with this input chroma data, this is filtered chroma data and this input chroma data obtains this output chroma data according to this weighted value linear hybrid.
7. colors of image treatment element according to claim 6 is characterized in that wherein this weighted value is represented with W, and this is filtered chroma data represents with Cf, and this input chroma data represents with Cb, and this output chroma data represents with Ca, then
Ca＝Cf*W+(1-W)*Cb。
8. a colors of image processing method is characterized in that, a brightness data and an input chroma data to handle an image comprise:
Carry out the edge detection step, receive this brightness data of this image, whether each pixel of detecting this image belongs to a map edge, and gives an edge intensity;
Carry out the colourity filter step, receive this input chroma data of this image, carry out colourity filtering and export one being filtered chroma data; And
Carry out the colourity blend step, receive this edge strength, this is filtered chroma data and this input chroma data, according to this edge strength this is filtered chroma data and mixes in the weight mode with this input chroma data, obtains an output chroma data.
9. colors of image processing method according to claim 8 is characterized in that, wherein this carries out the edge detection step and comprises:
The detecting horizontal edge is to determine a horizontal edge intensity of each this pixel;
The detecting vertical edge is to determine a vertical edge intensity of each this pixel; And
This horizontal edge intensity and this vertical edge intensity are obtained this edge strength according to a computing.
10. colors of image processing method according to claim 9 is characterized in that, wherein this detecting horizontal edge step and this detecting vertical edge step all adopt [1,2,-1] filtration computational methods/4, this brightness data filtration with this image obtains possible fringe region.
11. colors of image processing method according to claim 8 is characterized in that, wherein this carries out the colourity filter step and comprises:
Carry out an ordered steps, receive this input chroma data, begin to get forward N this chroma data, be ranked into N ordering chroma data according to size for a pixel to be processed; And
Carry out selecting step, from this N ordering chroma data, get M big chroma data, this after filtering as this pixel is filtered chroma data, wherein M＞1, and N＞M.
12. colors of image processing method according to claim 11 is characterized in that, wherein N be 4 or 5 and M be 2 or 3.
13. colors of image processing method according to claim 8 is characterized in that, wherein this carries out the colourity blend step and comprises:
Carry out a weight step, receive this edge strength and produce a weighted value, wherein then setting this weighted value when this edge strength less than a low critical value is zero, then setting this weighted value when this edge strength greater than a high critical value is 1, when this edge strength is then set this weighted value according to linear scale between this low critical value and high critical value; And
Carry out a blend step, receive this weighted value, this is filtered chroma data, and with this input chroma data, this is filtered chroma data and this input chroma data obtains this output chroma data according to this weighted value linear hybrid.
14. colors of image processing method according to claim 13 is characterized in that wherein this weighted value is represented with W, this is filtered chroma data and represents with Cf, this input chroma data represents that with Cb this output chroma data is represented with Ca, then carries out the calculating of Ca=Cf*W+ (1-W) * Cb.
15. a colors of image processing method is characterized in that, is arranged in the display system, a brightness data and an input chroma data to handle an image comprise:
Receive a brightness data and an input chroma data of this image;
Whether the pixel that detecting will show belongs to a map fringe region, and gives an edge intensity;
Should import chroma data and do a Filtering Processing, and obtain one and filter chroma data; And
According to this edge strength, should import chroma data and do weight with this filtration chroma data and mix, obtain a new chroma data.
16. colors of image processing method according to claim 15 is characterized in that, wherein this Filtering Processing comprises:
Carry out an ordered steps, receive this input chroma data, begin to get forward N this chroma data, be ranked into N ordering chroma data according to size for a pixel to be processed; And
Carry out selecting step, from this N ordering chroma data, get M big chroma data, this after filtering as this pixel is filtered chroma data, wherein M＞1, and N＞M.
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